interactions:
  - request:
      body:
        '{"input": "Tell me a joke about opentelemetry", "model": "embedding", "encoding_format":
        "base64"}'
      headers:
        accept:
          - application/json
        accept-encoding:
          - gzip, deflate
        connection:
          - keep-alive
        content-length:
          - "98"
        content-type:
          - application/json
        host:
          - test-resource.openai.azure.com
        user-agent:
          - AzureOpenAI/Python 1.12.0
        x-stainless-arch:
          - arm64
        x-stainless-async:
          - "false"
        x-stainless-lang:
          - python
        x-stainless-os:
          - MacOS
        x-stainless-package-version:
          - 1.12.0
        x-stainless-runtime:
          - CPython
        x-stainless-runtime-version:
          - 3.9.5
      method: POST
      uri: https://test-resource.openai.azure.com/openai/deployments/test-deployment/embeddings?api-version=2023-07-01-preview
    response:
      body:
        string:
          "{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"object\":
          \"embedding\",\n      \"index\": 0,\n      \"embedding\": \"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\"\n
          \   }\n  ],\n  \"model\": \"text-embedding-3-large\",\n  \"usage\": {\n    \"prompt_tokens\":
          8,\n    \"total_tokens\": 8\n  }\n}\n"
      headers:
        Content-Length:
          - "16606"
        Content-Type:
          - application/json
        Date:
          - Tue, 27 Feb 2024 11:52:54 GMT
        Strict-Transport-Security:
          - max-age=31536000; includeSubDomains; preload
        access-control-allow-origin:
          - "*"
        apim-request-id:
          - a9de7d0d-fd3b-4bf8-bffa-fcc0af815a28
        azureml-model-session:
          - d002-20240220202227
        x-content-type-options:
          - nosniff
        x-ms-client-request-id:
          - a9de7d0d-fd3b-4bf8-bffa-fcc0af815a28
        x-ms-region:
          - East US 2
        x-ratelimit-remaining-requests:
          - "119"
        x-ratelimit-remaining-tokens:
          - "119991"
        x-request-id:
          - 8b0fb6a3-60b6-4ddf-a576-e36e74519f5e
      status:
        code: 200
        message: OK
  - request:
      body:
        '{"input": "Tell me a joke about opentelemetry", "model": "embedding", "encoding_format":
        "base64"}'
      headers:
        accept:
          - application/json
        accept-encoding:
          - gzip, deflate
        connection:
          - keep-alive
        content-length:
          - "98"
        content-type:
          - application/json
        host:
          - test-resource.openai.azure.com
        user-agent:
          - AzureOpenAI/Python 1.12.0
        x-stainless-arch:
          - arm64
        x-stainless-async:
          - "false"
        x-stainless-lang:
          - python
        x-stainless-os:
          - MacOS
        x-stainless-package-version:
          - 1.12.0
        x-stainless-runtime:
          - CPython
        x-stainless-runtime-version:
          - 3.9.5
      method: POST
      uri: https://test-resource.openai.azure.com/openai/deployments/test-deployment/embeddings?api-version=2023-07-01-preview
    response:
      body:
        string:
          "{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"object\":
          \"embedding\",\n      \"index\": 0,\n      \"embedding\": \"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\"\n
          \   }\n  ],\n  \"model\": \"text-embedding-3-large\",\n  \"usage\": {\n    \"prompt_tokens\":
          8,\n    \"total_tokens\": 8\n  }\n}\n"
      headers:
        Content-Length:
          - "16606"
        Content-Type:
          - application/json
        Date:
          - Tue, 27 Feb 2024 11:52:54 GMT
        Strict-Transport-Security:
          - max-age=31536000; includeSubDomains; preload
        access-control-allow-origin:
          - "*"
        apim-request-id:
          - 1a6fae1c-62a8-47b1-a28f-cdeaf2b5aebd
        azureml-model-session:
          - d002-20240220202227
        x-content-type-options:
          - nosniff
        x-ms-client-request-id:
          - 1a6fae1c-62a8-47b1-a28f-cdeaf2b5aebd
        x-ms-region:
          - East US 2
        x-ratelimit-remaining-requests:
          - "118"
        x-ratelimit-remaining-tokens:
          - "119982"
        x-request-id:
          - 748c5278-0721-4238-8cb1-213ef1ab2bc9
      status:
        code: 200
        message: OK
version: 1
